Title :
A fast integer algorithm for observability analysis using network topology
Author :
Chen, Rong-Liang
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
fDate :
8/1/1990 12:00:00 AM
Abstract :
An integer algorithm for determining the observability of a power system network with its linearized state estimator model is presented. By using some properties of the allocation of the flow and injection measurements and the network topology, the algorithm manipulations only integer numbers in the measurement Jacobian matrix. Theorems that determine the rank of the special kinds of matrices are proposed to speed up the observability analysis. Neither manipulation of real numbers nor a complicated combinatorial problem is involved in the proposed algorithm. Therefore, it is much simpler and the speed for observability analysis is much faster compared to previous methods. Moreover, no numerical problems are encountered. A detailed example of the IEEE 14-bus test system following the steps in the algorithm is presented and test results on the algorithm are reported
Keywords :
power systems; state estimation; fast integer algorithm; flow measurements; injection measurements; linearized state estimator model; measurement Jacobian matrix; network topology; observability analysis; power system network; Algorithm design and analysis; Fluid flow measurement; Jacobian matrices; Network topology; Observability; Power system analysis computing; Power system measurements; Power system modeling; State estimation; System testing;
Journal_Title :
Power Systems, IEEE Transactions on